Coup d’oeil sur 100 ans de lutte aux mauvaises herbes au Québec
Bibliographic record
Abstract
À l’occasion du centenaire de la SPPQ, nous jetons un bref coup d’oeil sur la lutte aux mauvaises herbes au cours du siècle dernier. En relatant des moments historiques de la malherbologie au Québec, nous regardons de quelle manière les préoccupations, les problèmes et surtout les solutions ont traversé le temps. Les structures, les organisations et les acteurs ont changé. La santé humaine, l’environnement et l’agriculture durable sont devenus incontournables et indissociables. De nouvelles avenues sont développées, tels que les OGM, qui s’avèrent révolutionnaires comparativement aux méthodes conventionnelles. En 2008, malgré toutes les techniques et moyens mis à notre disposition, la lutte aux mauvaises herbes demeure une priorité dans la gestion des cultures. Les producteurs et productrices agricoles ont encore et de plus en plus besoin des connaissances issues de la recherche et de l’innovation en malherbologie.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".